Atlas of AI in Wine

A bilingual reference on artificial intelligence across viticulture, winemaking, and the wine business — plus OenoBench, the wine knowledge benchmark for large language models.

Read about the project See the OenoBench leaderboard

OenoBench run: v2026-04-17
Questions: 5,300
Domains · Languages: 3 · 2

Vinum ex Machina is an atlas-grade, slowly-growing reference on how artificial intelligence is reshaping wine. Each section gathers field notes, evaluations, and forward-looking essays on a single facet of the industry — from vineyard sensors and fermentation models to retail recommendation engines. Alongside the written corpus, the site hosts OenoBench, a public benchmark of roughly five thousand wine-knowledge questions used to probe how well large language models understand the domain.

OenoBench leaderboard

Live evaluation of large language models against 5,300 wine-knowledge questions — current run v2026-04-17. View leaderboard · Methodology

About the project

Mission, scope, and the long-term ambition to become the Atlas of AI in Wine. Start here. Read more

About the author

Solo author, wine and AI background. Read more

Keynote

Occasional long-form essays on AI’s role in wine. Read essays

AI potential

Forward-looking analyses across viticulture, winemaking, and wine business. Explore

AI use cases

Concrete deployments shipped today across the wine value chain. Explore